T-Chat 4.6.5: current knowledge, verified files and local models
What is new in T-Chat 4.6.5: refreshed Second Brain context, verified file writes, local apps, Companion and meeting-aware memory management.
Read article →T-CHAT JOURNAL
Local AI. Practical choices.
Guides for businesses, institutions and infrastructure operators. Pilot projects, company knowledge, offline continuity and product updates.
Business AI: how to design a useful pilot
Evaluate a business AI pilot with a bounded workflow, authorised documents, answer quality, costs and clear criteria for a wider rollout.
Read article →A company Second Brain: keeping documents and answers current
Organise source ownership, versions and updates in a company Second Brain. Refresh context and review new knowledge proposed by AI.
Read article →Local AI for every building: from concept to a pilot
Evaluate a local AI node for buildings, campuses and infrastructure: technical documents, access, hardware, maintenance and pilot testing.
Read article →Offline AI in shelters and isolated sites: practical requirements
Evaluate offline AI for document access in shelters and isolated sites: prepared models, licence validity, power, approved sources and continuity tests.
Read article →An AI personality becomes useful when it can also work
Roles, Anima and meetings become genuinely useful when they operate with consistent tools and rules.
Read article →T-Chat is growing as a platform, not a feature list
The new website presents T-Chat as a complete, bilingual AI operating system built around continuity.
Read article →Multimodal production needs direction, not more panels
Documents, images, video and audio generated in a coherent flow with reusable settings and verifiable outputs.
Read article →Local or cloud AI? The useful answer is often hybrid
How to distribute AI workloads between local models and online services according to data, quality, cost and continuity.
Read article →Second Brain, Harness and HUMANOID: what’s new in T-Chat
From version 4.4 to the 4.5 preview: personal knowledge, Workspace, agent controls and the hardware lab. NVIDIA and AMD versions in development.
Read article →An AI Plan B cannot be improvised during an outage
Why operational AI continuity requires data, models and procedures to be ready before an external service stops.
Read article →Minority Report: when voice becomes an environment
A continuous workflow for directing AI through voice, listening and follow-up guidance without breaking concentration.
Read article →Professional secrecy and AI: trust requires architecture
Sensitive data, cloud services and local models: practical criteria for adopting AI while preserving control and accountability.
Read article →Online research and agents: verification creates the value
How to use research and AI agents while keeping sources, operations and the boundary between information and action visible.
Read article →More autonomy. Better forecasting. Stronger control.
Discover T-Chat 4.2.1: Shield Web, Social Office, local TimesFM 3, Nearby and complete agent traceability.
Read article →Powerful AI should not feel complicated.
A powerful AI interface should make complex work feel clear. Discover how T-Chat combines visual hierarchy, personalisation, control and consistency.
Read article →Local and online models in AI meetings: choice without dependency.
T-Chat 4.0 multi-agent meetings can use local and online AI models, including models enabled through OpenRouter. Choose by data, role, cost and speed.
Read article →T-Chat Companion and Nearby: control stays close.
T-Chat Companion installs, updates and monitors the local AI platform. T-Chat Nearby adds smartphone access on the same private network.
Read article →More control, better organisation and more ways to work.
Discover T-Chat 4.0: Nearby smartphone access, archive folders, Automode collections, online models in meetings and better automation controls.
Read article →What’s new in T-Chat
Second Brain, configurable agent autonomy, cross-app search and editable Workspace files. The platform keeps evolving while your data and decisions stay under your control.
ExploreMore autonomy, forecasting and control
Shield Web, TimesFM 3, Social Office and deeper traceability for agent work.
Discover T-Chat 4.2.1 →Powerful AI should not feel complicated
Clarity, hierarchy, feedback and personalisation turn advanced capabilities into a dependable workspace.
Discover the care behind the interface →T-Chat Companion and Nearby: control stays close
Installation, updates, models and smartphone access on the same private network.
Discover Companion and Nearby →Local and online models in AI meetings
Data, role, speed and cost guide the model choice, including models enabled through OpenRouter.
Read the article →More control, better organisation and more ways to work
Nearby, archive folders, Automode collections, online models in meetings and better automation controls.
Discover T-Chat 4.0 →T-Chat is growing as a platform, not a feature list
A new architecture for explaining every capability without losing the complete picture.
Read the article →An AI Plan B cannot be improvised during an outage
If AI is embedded in processes, its unavailability is already an operational risk.
Read the article →Local or cloud AI? The useful answer is often hybrid
The best choice is not ideological. It depends on the task and the risk.
Read the article →Online research and agents: verification creates the value
Finding an answer is easy. Showing where it came from and what was actually done is the real work.
Read the article →Multimodal production needs direction, not more panels
The format changes. The objective, context and responsibility for the result do not.
Read the article →An AI personality becomes useful when it can also work
Tone creates familiarity. Expertise, memory and tools create value.
Read the article →Minority Report: when voice becomes an environment
Not merely talking to a computer, but directing the work while it happens.
Read the article →Professional secrecy and AI: trust requires architecture
Confidentiality is not a box to tick. It is a sequence of verifiable decisions.
Read the article →Let’s talk
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